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numpy生成指定size,数据范围的array

言诗把酒 2022-01-10 阅读 41
import numpy as np
# 生成10行4列的array,数据范围为0-100的整数
nd = np.random.randint(0, 100, size=(10, 4))
print(nd)
'''
array([[68,  0, 98, 11],
       [27, 38, 37, 59],
       [11, 45, 27,  2],
       [37, 74, 76, 90],
       [53, 66, 10, 25],
       [64, 88, 34, 74],
       [30, 17, 16, 54],
       [68, 54, 80, 32],
       [81, 49, 79, 99],
       [96, 19, 51, 28]])'''
# randint(low, high, size=None, dtype=int)
# low: Union[int, ndarray, lterable, float[int]1,
# high: Union[int, ndarray, Iterable, float[int], None] = None,
# size: Union[int, Iterable, tuple[int], None] = None,
# dtype: Optional[object] = None
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